DocumentCode :
3075107
Title :
Formation flight control of multirotor helicopters with collision avoidance
Author :
Bezerra Viana, Icaro ; Afonso Acampora Prado, Igor ; Antonio dos Santos, Davi ; Carlos Sandoval Goes, Luiz
Author_Institution :
Inst. Tecnol. de Aeronaut., Sao José dos Campos, Brazil
fYear :
2015
fDate :
9-12 June 2015
Firstpage :
757
Lastpage :
764
Abstract :
Among the main sub-areas covering the cooperative control problem of Unmanned Aerial Vehicles (UAVs), formation flight has attracted great interest and has been widely investigated. The main purpose of the formation flight control is to establish a desired shape of formation for a group of vehicles by controlling the positions of each vehicle. The present paper deals with the problem of position formation flight control of a group of three multirotor helicopters with collision avoidance. In order to solve the problem, we propose a decentralized scheme based on model predictive controllers (MPC) for formation according to a virtual structure approach. For collision avoidance, a set of convex constraints on the vehicle´s positions are included. The proposed method is evaluated on the basis of computational simulations considering that the vehicles are subject to disturbance forces. Simulation results show the effectiveness of the method with primary focus on treatment of anti-collision constraints.
Keywords :
autonomous aerial vehicles; collision avoidance; helicopters; position control; predictive control; MPC; UAV; anticollision constraints; collision avoidance; computational simulations; convex constraints; cooperative control problem; disturbance forces; model predictive controllers; multirotor helicopters; position formation flight control; unmanned aerial vehicles; Attitude control; Collision avoidance; Computational modeling; Helicopters; Mathematical model; State-space methods; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4799-6009-5
Type :
conf
DOI :
10.1109/ICUAS.2015.7152359
Filename :
7152359
Link To Document :
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